Literature DB >> 18468829

Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound.

D Kotsianos-Hermle1, K M Hiltawsky, S Wirth, T Fischer, K Friese, M Reiser.   

Abstract

OBJECTIVES: Our aim was to investigate the diagnostic potential of an automated ultrasound (US) breast scanner prototype and compare it with manual US and mammography.
METHODS: Ninety-seven patients with a total of 107 breast lesions had mammograms, manual US and an automated breast US scan. Multiplanar reconstructions in coronal, axial and the sagittal view were reconstructed from the automated dataset and visualized. After biopsy, all lesions were confirmed histologically. The data were evaluated according to the BIRADS (Breast Imaging Reporting and Data System) classification. The sensitivity and specificity were analyzed.
RESULTS: The BIRADS criterion "margin" was significantly related to the overall BIRADS classification, independently of the US method being used. The sensitivity of mammography was significantly lower than of each US method (Fisher's exact test with p<0.05). There were no significant differences between the US methods.
CONCLUSIONS: The reconstructed third (axial) image plane of the whole breast, which corresponds to a craniocaudal mammogram, can give additional information about both, site and differential diagnosis of a lesion. Although image quality was sufficient, automated US is not good enough to replace manual US at this time.

Entities:  

Mesh:

Year:  2008        PMID: 18468829     DOI: 10.1016/j.ejrad.2008.04.001

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  20 in total

Review 1.  [Imaging of molecular structures of breasts with new sonography techniques].

Authors:  M Reisegger; G Schueller; R Gruber; K Pinker; C Riedl; T H Helbich
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

2.  Comparison between different imaging techniques in the evaluation of malignant breast lesions: can 3D ultrasound be useful?

Authors:  Paola Clauser; Viviana Londero; Giuseppe Como; Rossano Girometti; Massimo Bazzocchi; Chiara Zuiani
Journal:  Radiol Med       Date:  2013-12-03       Impact factor: 3.469

Review 3.  Diagnostic performance of the automated breast volume scanner: a systematic review of inter-rater reliability/agreement and meta-analysis of diagnostic accuracy for differentiating benign and malignant breast lesions.

Authors:  Zheying Meng; Cui Chen; Yitong Zhu; Shuling Zhang; Cong Wei; Bin Hu; Li Yu; Bing Hu; E Shen
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

4.  Comparison of automated breast volume scanning to hand-held ultrasound and mammography.

Authors:  Zhi Li Wang; Jian Hong Xu; Jian Hong Xw; Jun Lai Li; Yan Huang; Jie Tang
Journal:  Radiol Med       Date:  2012-06-28       Impact factor: 3.469

5.  Thermal distribution analysis of three-dimensional tumor-embedded breast models with different breast density compositions.

Authors:  Asnida Abd Wahab; Maheza Irna Mohamad Salim; Mohamad Asmidzam Ahamat; Noraida Abd Manaf; Jasmy Yunus; Khin Wee Lai
Journal:  Med Biol Eng Comput       Date:  2015-10-13       Impact factor: 2.602

Review 6.  Automated breast ultrasound: basic principles and emerging clinical applications.

Authors:  Martina Zanotel; Iliana Bednarova; Viviana Londero; Anna Linda; Michele Lorenzon; Rossano Girometti; Chiara Zuiani
Journal:  Radiol Med       Date:  2017-08-28       Impact factor: 3.469

Review 7.  [Automated breast volume scanner (ABVS) : a new approach for breast imaging].

Authors:  N K Wöhrle; K Hellerhoff; M Notohamiprodjo; M F Reiser; D-A Clevert
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

8.  Nonlinear characterization of breast cancer using multi-compression 3D ultrasound elastography in vivo.

Authors:  Ahmed Sayed; Ginger Layne; Jame Abraham; Osama Mukdadi
Journal:  Ultrasonics       Date:  2013-01-23       Impact factor: 2.890

9.  Breast mass characterization using 3-dimensional automated ultrasound as an adjunct to digital breast tomosynthesis: a pilot study.

Authors:  Frederic Padilla; Marilyn A Roubidoux; Chintana Paramagul; Sumedha P Sinha; Mitchell M Goodsitt; Gerald L Le Carpentier; Heang-Ping Chan; Lubomir M Hadjiiski; J Brian Fowlkes; Annette D Joe; Katherine A Klein; Alexis V Nees; Mitra Noroozian; Stephanie K Patterson; Renee W Pinsky; Fong Ming Hooi; Paul L Carson
Journal:  J Ultrasound Med       Date:  2013-01       Impact factor: 2.153

10.  3D Automated Breast Ultrasound System: Comparison of Interpretation Time of Senior Versus Junior Radiologist.

Authors:  Aydan Arslan; Gökhan Ertaş; Erkin Arıbal
Journal:  Eur J Breast Health       Date:  2019-07-01
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